DATA SCIENCE

Technology advances are reshaping business and society at a dizzying clip. Cognitive or artificial intelligence (AI), robotics and process automation, big data, digital transformation, and the Internet of Things are changing the way we work, think, and live.

Data Science

Data science, also known as data-driven science, is an interdisciplinary field of scientific methods, processes, algorithms and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.  This course prepares you for the role of   Data Science, Big Data, R Programming, Python, and SAS. 

Software Suite Developed

SAS is a software suite developed by SAS Institute for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics. you’ll become an expert in analytics techniques using the SAS data science tool. You’ll learn how to apply data manipulation and optimization techniques; advanced statistical concepts like clustering, linear regression and decision trees; data analysis methods to solve real world business problems and predictive modeling techniques. This SAS Certification course will give you practical knowledge you can apply on your next data analysis job.

R (programming language)

Become an expert in data analytics using the R programming language in this data science certification training course. You’ll master data exploration, data visual ization, predictive analytics and descriptive analytics techniques with the R language. With this data science course, you’ll get hands-on practice on R CloudLab by implementing various real-life, industry-based projects in the domains of healthcare, retail, insurance, finance, airlines, music industry, and unemployment.

Big Data

Big data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. There are five dimensions to big data known as Volume, Variety, Velocity and the recently added Veracity and Value. The course is packed with real-life projects and case studies to be executed in the CloudLab.

Python (programming language)

This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you ’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.

Excel

Excel training has been designed to help initiate you to the world of analytics. For this we use the most commonly used analytics tool i.e. Microsoft Excel. The training will equip you with all the concepts and hard skills required to kick start your analytics career. If you already have some experience in the IT or any core industry, this course will quickly teach you how to understand data and take data driven decisions relative to your domain using Microsoft excel. For a new-comer to the analytics field, this course provides the best-required foundation. The training also delves into statistical concepts which are important to derive the best insights from available data and to present the same using executive level dashboards. Finally we introduce Power BI, which is the latest and the best tool provided by Microsoft for analytics and data visualization.

Close Menu